๐๏ธCreating an Audio to Text Converter with Databutton and OpenAI Whisper
A simple step-by-step walkthrough on creating an audio file uploader using Databutton, storing the audio files, and converting them to text using the OpenAI Whisper model.
Create an Audio File Uploader
Create APIs (Python Backends)
Add the API to the UI Component
Create an Audio File Uploader
Databutton creates an UI component for AudioFileUploader
.
The 'Upload' button needs a functionalities .
Create APIs (Python backends)
Functionalities
Store the audio file from the frontend in the database.
Process and translate the audio file.
Storing the Audio file from the frontend to database
Note : We're currently using Databutton's default storage to store the audio files. However, other storage services like Firebase can also be used. It's recommended to use Firebase for storing audio files due to its scalability.
Process and Translate the Audio File
Next, Databutton will define the Pydantic model (input/output parameters) and seek for the OpenAI API key.
Once the API key is passed, Databutton proceeds on generating a functional API endpoint.
Error Handling and Debugging Prompts:
Databutton might need some additional support on how to handle the file stored and pass the file path according to the supported format. Here's a suggested prompt:
Prompt : I would like you to fetch the data from storage using the Databutton sdk. Then use a temp path which will be passed to OpenAI LLM. Also remember that the OpenAI sdk requires to open the temporary file in binary mode
Prompt breakdown and expected code generation
Retrieve the audio file from storage
Save the audio file to a temporary file with a recognized format
Open the temporary file in binary mode and pass the file object to the Whisper model
Add the API to the UI component
Integrating the "Store Uploaded Files" API
Adding a new button and integrating the process and translate API
Import the AudioFileUploader
UI Component to Home Page of the App
AudioFileUploader
UI Component to Home Page of the AppFurther, the main home page of the app can be polished. Here's how the main UI code looks like.
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